A statistical approach to TPS transport optimization

Abstract

This paper discusses the statistical challenges of TPS Transport. A TPS is not considered fieldable until all tests are passing. Based on the number of tests in a TPS and the inherent complexity of the transport process, the probability exists that less than 100% of all tests will pass the first time they are tested after undergoing the transport process. Optimizing what types of tests are transported significantly improves the probability that the next TPS will be successfully transported. This paper illustrates that prioritizing which functions to focus on can greatly improve the probability of success while reducing the overall characterization effort.